Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to anewa.tech

Anewa Tech | Elastic Stack Experts · ranked by shared content topics & relevance
66match
cnmedialive.com
New AI Huge Surprise For Tech Experts
2 shared topicsartificial-intelligence
66match
thenovtech.com
The Nov Tech | Novy Baf | Substack
2 shared topicstechnology-and-computing
66match
benbernardy.com
Ben Bernardy | Full Stack Engineer & AI Systems
2 shared topicsartificial-intelligence
65match
gsuryateja.com
Surya Teja | Senior Full-Stack Engineer | MERN Stack Expert • Surya's Blog
2 shared topicstechnology-and-computing
65match
solooperatorstack.com
Solo Operator Stack
2 shared topicstechnology-and-computing
65match
dmihaylov.com
No BS, Just Tax Tech | Diyan (Diddo) Mihaylov | Substack
2 shared topicstechnology-and-computing
65match
ankr.me
Ankit Kumar - Full Stack Engineer | AI Backend | LLM & Agentic Systems
2 shared topicsartificial-intelligence
65match
ahmedfraz.dev
Portfolio - Full Stack Developer
2 shared topicstechnology-and-computing
65match
divya-bairavarasu.com
Divya Bairavarasu | Full Stack Developer
2 shared topicsartificial-intelligence
65match
kylianmalartre.com
Kylian Malartre | Full-stack Explorer
2 shared topicsartificial-intelligence
65match
thertsoftware.com
Rena Thomas — Senior Full-Stack Engineer
2 shared topicsartificial-intelligence
64match
benchhub.info
BenchHub - AI & Tech Benchmarks, Tutorials & Expert Insights
2 shared topicsartificial-intelligence
64match
argilla.io
The tool where experts improve AI models
2 shared topicsartificial-intelligence
64match
instatechnews.com
Home - Insta Tech News
2 shared topicstechnology-and-computing
64match
arielsaldana.com
Ariel Saldana - Full Stack Engineer - New York City
2 shared topicstechnology-and-computing
64match
ariel.io
Ariel Saldana - Full Stack Engineer - New York City
2 shared topicstechnology-and-computing
64match
rohanvijayan.com
Rohan Vijayan – Young Tech Explorer
2 shared topicstechnology-and-computing
64match
gtalkstech.com
G Talks Tech | The AI-Augmented Engineer
2 shared topicsartificial-intelligence

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.